The AI operating layer for FEED process automation.
From design basis to compliant drawings in days, not months. Generate early-stage layouts, validate every drawing with the exact clause cited, and take FEED to an approval-ready decision.
Engineer in the loopClause-cited checksDWG / DXF outputRevision-tracked
Flux AI / FEED control room
Design basisPass · Warn · FailApproval package
15–18
Detailed FEED layouts in hours
20–30
Primary drawings or engineering views
Exact
Clause cited for each verdict
Human
Engineer approval at every gate
What FEED makes possible
The stage where an idea becomes a facility that can be costed, approved and engineered.
Front-End Engineering Design turns a business requirement into a sufficiently defined manufacturing facility—what will be built, its capacity, how it will operate, what it may cost and where the main execution risks sit.
01
Define the facility
Turn governed requirements and room data into capacity, process flows, coordinated room relationships and conceptual layouts.
02
Coordinate and assure
Develop process, building and utilities as one connected design, checked against project rules and regulatory standards.
03
Build the commercial basis
Structure quantities, scope and cost assumptions into an approval-ready basis for an informed investment decision.
04
De-risk the decision
Compare options, expose compliance gaps and trace changes before procurement, detailed engineering and construction begin.
Business requirement
Capacity · product · process brief
Defined FEED package
Scope · compliance · cost basis
Investment decision
Proceed to detailed engineering
A well-defined FEED package gives owners the technical and financial basis to decide whether to proceed—and gives engineering teams a controlled starting point for the contracts and design work that follow.
The two manual loops
FEED stalls in drawing authoring. Then stalls again proving compliance.
01
Author
Engineers turn the URS, room data and client standards into layouts, discipline by discipline.
02
Revise
A client change restarts the loop and can create drift across connected drawings and schedules.
03
Validate
Each issue is checked manually against internal, project and regulatory standards.
04
Approve
Scope, quantities, assumptions and compliance evidence are rebuilt for sign-off.
Flux AI connects both loops: generate from one governed design basis, then validate every output with a source-linked verdict.
One governed path
From engineering input to audit-ready output.
Flux AI reads the files engineering teams already produce, grounds every check in the right references and returns evidence an engineer can inspect.
01 · Ingest
Drawings & documents
P&IDs, HVAC, GA layouts, vendor files and BOQs.
02 · Ground
References & standards
Project rules, client specifications, codes and Room Data Sheets.
03 · Orchestrate
Encoded workflows
Extraction, validation, comparison and engineer review gates.
04 · Deliver
Audit-ready output
Cited verdicts, deviations, BOMs and approval evidence.
Weeks of review compressed into hours
Consistent, traceable, clause-cited output
Fewer manual cycles and less downstream rework
FEED intelligence in practice
Automate the design loop. Prove compliance and cost before approval.
Flux AI turns a controlled design basis into coordinated engineering outputs, checks each result against the applicable requirement and builds a traceable estimate from the same source.
01 · FEED automation
A governed design basis becomes coordinated engineering output.
Flux AI structures room and process requirements once, then uses that controlled source to generate layouts, Room Data Sheets and primary engineering views. Revisions propagate through the connected output instead of restarting disconnected drafting cycles.
Room Data Sheet generation
15–18 detailed layouts in hours
20–30 primary views
Revision-linked DWG / DXF output
01 · FEED automationEngineer reviewed
02 · Compliance
Every drawing check returns a verdict and its evidence.
Project specifications, client standards and regulatory rules become an inspectable validation layer. Flux AI identifies exceptions, classifies them as Pass, Warning or Fail, and cites the exact source clause so engineers review evidence rather than search documents.
Clause-level citations
Pass · Warning · Fail verdicts
Project and regulatory checks
Approval-ready audit trail
02 · ComplianceEngineer reviewed
03 · Estimation
Quantities, rates and assumptions stay connected to the design.
Flux AI extracts equipment and discipline scope from the evolving FEED package, structures the BOM and applies project rates and assumptions. When the design changes, estimators can see what moved and prepare a decision-ready cost view without rebuilding the estimate manually.
Automated BOM extraction
Discipline-wise quantities
Rate and assumption mapping
Revision-aware cost impact
03 · EstimationEngineer reviewed
Four outcomes · one platform
Start with one capability. Add as it earns its place.
Generate, validate, estimate and compare form the FEED decision loop. Tender and knowledge workflows extend the same intelligence across the project.
01 · Generate
FEED Automation / DDS
Convert the design basis into a governed Room Data Sheet, generate 15–18 detailed layouts and 20–30 primary engineering views, then keep every DWG/DXF output connected as requirements change.
02 · Validate
Drawing Validation & Compliance
Check P&IDs, HVAC and layouts against project, client and regulatory requirements. Every finding receives a Pass, Warning or Fail verdict with the exact source clause and an approval-ready audit trail.
03 · Estimate
BOM, Cost & Approvals
Extract equipment and discipline quantities from the evolving design, structure the BOM, apply project rates and assumptions, and expose revision-level cost impact for approval.
04 · Compare
Vendor Intelligence
Compare technical and commercial proposals against requirements with transparent scoring and risk flags.
Platform extension
RFP / RFI / Tenders
Parse scopes by discipline, generate a deliverables register and ground proposal teams in the tender source.
Platform extension
Knowledge Hub
Answer project, code and standards questions from a controlled knowledge base with citations in every response.
Fits the engineering toolchain
Adds intelligence. Does not replace engineering systems.
Flux AI sits above Revit, AutoCAD and the common data environment, connecting design decisions without disrupting where teams author and coordinate.
01
Existing engineering tools
Revit, AutoCAD and the common data environment remain where teams author and coordinate.
02
Flux AI operating layer
A governed design basis connects drawings, room data, quantities, standards and approvals.
03
Decision-ready delivery
DWG/DXF output, validation reports, structured BOM and revision evidence return to the team.
Governance by design
Evidence an approver can inspect.
Exact citations
Every finding links back to the source clause or project rule.
Pass · Warning · Fail
Clear verdicts focus review on exceptions instead of rereading everything.
Revision traceability
Changes propagate from the governed source with an inspectable history.
Engineer approval
Automation proposes and validates; accountable engineers retain the final gate.
The integrated FEED path
One governed design basis through to FEED approval.
01
Room design basis
URS · process brief
02
Room data sheet
Governed source
03
Primary layouts
20–30 views
04
BOQ & estimation
Quantified scope
05
Compliance
Cited verdicts
06
FEED approval
Funded decision
See it on your workflow
Bring a drawing or design basis. See the FEED loop live.
See Flux AI generate, validate, estimate or compare from a real engineering input, with every result ready for engineer review.
